Agent-Based Modelling in Population Studies

Concepts, Methods, and Applications

  • André Grow
  • Jan Van Bavel

Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 41)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Perspectives on Agent-Based Modelling in Population Studies

    1. Front Matter
      Pages 1-1
    2. Daniel Courgeau, Jakub Bijak, Robert Franck, Eric Silverman
      Pages 29-51
  3. Designing, Analysing, and Reporting Agent-Based Models

    1. Front Matter
      Pages 73-73
    2. Matteo Richiardi, Ross E. Richardson
      Pages 75-112
    3. Jason Hilton, Jakub Bijak
      Pages 211-235
    4. Jürgen Groeneveld, Anna Klabunde, Michelle L. O’Brien, André Grow
      Pages 237-254
  4. Modelling Decision Processes

  5. Family Formation and Fertility

    1. Front Matter
      Pages 341-341
    2. Ridhi Kashyap, Francisco Villavicencio
      Pages 343-367
    3. Sebastian Klüsener, Francesco Scalone, Martin Dribe
      Pages 369-403
    4. Daniel Ciganda, Francisco Villavicencio
      Pages 405-435
  6. Health, Mortality, and Support in Old Age

    1. Front Matter
      Pages 437-437

About this book


This book examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments. It features papers written by leading experts in the field that will help readers to better understand the usefulness of ABM for population projections, how ABM can be injected with empirical data to achieve a better match between model and reality, how geographic information can be fruitfully used in ABM, and how ABM results can be reported effectively and correctly.

Coverage ranges from detailing the relation between ABM and existing paradigms in population studies to infusing agent-based models with empirical data. The papers show the benefits that ABM offers the field, including enhanced theory formation by better linking the micro level with the macro level, the ability to represent populations more adequately as complex systems, and the possibility to study rare events and the implications of alternative mechanisms in artificial laboratories.

In addition, readers will discover guidelines and best practices with detailed examples of how to apply agent-based models in different areas of population research, including human mating behaviour, migration, and socio-structural determinants of health behaviours.

Earlier versions of the papers in this book have been presented at the workshop “Recent Developments and Future Directions in Agent-Based Modelling in Population Studies,” which took place at the University of Leuven (KU Leuven), Belgium, in September 2014. The book will contribute to the development of best practices in the field and will provide a solid point of reference for scholars who want to start using agent-based modelling in their own research.


ABM Agent-based modelling in demography Agent-Based Computational Demography Computational simulation Empirical population data Model verification and validation Population studies

Editors and affiliations

  • André Grow
    • 1
  • Jan Van Bavel
    • 2
  1. 1.Centre for Sociological ResearchUniversity of LeuvenLeuvenBelgium
  2. 2.Centre for Sociological ResearchUniversity of LeuvenLeuvenBelgium

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-319-32281-0
  • Online ISBN 978-3-319-32283-4
  • Series Print ISSN 1389-6784
  • Series Online ISSN 2215-1990
  • About this book